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Iku Ohama, Ph.D.
Iku Ohama, Ph.D.
Chief Research Engineer at Panasonic, Senior Research Engineer at ARIMO LLC
Verified email at jp.panasonic.com
Title
Cited by
Cited by
Year
Content output device, content output method, program, program recording medium, and content output integrated circuit
H Iida, I Ohama, S Ohtsubo
US Patent 8,732,149, 2014
492014
Display device and method of switching display direction
R Kamei, N Matsui, T Matsumoto, S Ohtsubo, I Ohama
US Patent 9,507,379, 2016
252016
Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression
S Nobuhara, Y Tsuda, I Ohama, T Matsuyama
IPSJ Transactions on Computer Vision and Applications 1, 242-259, 2009
232009
Anomaly detection method, learning method, anomaly detection device, and learning device
T Oba, I Ohama
US Patent 10,785,244, 2020
122020
An extension of the infinite relational model incorporating interaction between objects
I Ohama, H Iida, T Kida, H Arimura
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013
122013
An extension of gradient boosted decision tree incorporating statistical tests
R Sakata, I Ohama, T Taniguchi
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 964-969, 2018
102018
On the model shrinkage effect of gamma process edge partition models
I Ohama, I Sato, T Kida, H Arimura
Advances in Neural Information Processing Systems 30, 2017
72017
Classification device and classification method
I Ohama, T Abe, H Arimura, T Kida
US Patent 8,793,204, 2014
62014
Multi-layered framework for modeling relationships between biased objects
I Ohama, T Kida, H Arimura
Proceedings of the 2015 SIAM International Conference on Data Mining, 819-827, 2015
52015
多視点画像を用いた誤り検出・訂正機能を持つ高精度対象領域抽出法
大浜郁, 延原章平, 松山隆司
MIRU2006, 688-693, 2006
42006
Discovering Co-Cluster Structure from Relationships between Biased Objects
I Ohama, T Kida, H Arimura
IEICE TRANSACTIONS on Information and Systems 101 (12), 3108-3122, 2018
32018
Discovering Relevance-Dependent Bicluster Structure from Relational Data.
I Ohama, T Kida, H Arimura
IJCAI, 2578-2584, 2017
32017
The relevance dependent infinite relational model for discovering co-cluster structure from relationships with structured noise
I Ohama, H Iida, T Kida, H Arimura
IEICE TRANSACTIONS on Information and Systems 99 (4), 1139-1152, 2016
32016
Co-clustering apparatus, co-clustering method, recording medium, and integrated circuit
I Ohama
US Patent App. 14/054,890, 2014
32014
Method for estimating use state of power of electric devices
Y Shoda, I Ohama, R Fujimura, H Umetani
US Patent App. 15/251,794, 2017
22017
Evaluation result display method, evaluation result display apparatus, and non-transitory computer-readable recording medium storing evaluation result display program
H Umetani, I Ohama, R Fujimura
US Patent 11,093,517, 2021
12021
Discovering Relevance-Dependent Bicluster Structure from Relational Data: A Model and Algorithm
I Ohama, T Kida, H Arimura
Transactions of the Japanese Society for Artificial Intelligence 33 (6), B …, 2018
12018
A machine learning approach for lighting perception analysis via crowdsourcing
Y Minoda, I Ohama, E Muramoto
Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015
12015
Information classification device, information classification method, and program for classifying information
I Ohama, H Iida
US Patent App. 13/393,840, 2012
12012
Training method, training device, and non-transitory computer-readable recording medium
KK Kallidromitis, D Gudovskiy, I Ohama, K Kozuka
US Patent App. 18/504,300, 2024
2024
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